/* 🔹 Main footer padding control */ @media (min-width: 1921px) { .c-menu-footer__graphic{ margin-bottom: -85px !important; } .c-footer{ padding-top:40px !important; } .c-footer__upper{ /*padding-top:100px;*/ } .c-menu-footer__menu{ padding-top:20px !important; } .c-footer__branding{ margin-bottom:0px !important; } .c-menu-footer__link{ line-height:1.3 !important; font-size:1.127rem !important; } .c-menu-footer__title{ line-height:1.4 !important; } } @media (max-width: 1920px) { .c-menu-footer__graphic{ margin-bottom: -65px !important; } .c-menu-footer__title{ line-height:1.4 !important; } .c-menu-footer__link{ line-height:1.3 !important; font-size:1.127rem !important; } .c-menu-footer__menu{ padding-top:20px; } .c-footer__branding{ margin-bottom:0px !important; } } .c-menu-footer__title{ color:#f5f4ee; } @media (max-width: 1024px) { .c-footer__graphic { display: none; } } @media (max-width: 768px) { .c-footer{ padding-top:25px; } .c-footer__upper{ margin-bottom:-20px; } .c-footer__branding{ margin-top:20px; } .c-menu-utility__menu-item { padding-top:3px; } } @media (min-width: 769px) { .c-menu-utility__menu-item { padding-top:0; } } // Mixpanel ignore tracking for known IPs var excludeIPS = '[65.213.72.30, 185.142.16.9, 203.176.115.9, 208.68.197.6, 208.68.197.9, 208.68.199.6, 208.68.199.9, 208.85.160.9, 208.85.161.9]'; $.getJSON('//api.ipify.org?format=json', function(data) { try{ if(true && excludeIPS.indexOf(data.ip) > -1){ console.log('Mixpanel ignore events set: NO events tracked.'); mixpanel.register({"$ignore":true}); }else{ mixpanel.unregister("$ignore"); mixpanel.track("View Page", { "Page Name": document.querySelector('.dotted-underline') ? document.querySelector('.dotted-underline').innerText : location.href, "Careers Site": true }); mixpanel.people.set_once({ 'First Career Page Visit' : new Date().toISOString() }); mixpanel.people.set({ 'Last Career Page Visit' : new Date().toISOString() }); // Only for Careers Site mixpanel.people.increment("# of Career Page Visits"); (function(){ var links = document.querySelectorAll('a'); [].forEach.call(links, function(link) { link.addEventListener("click", function (e) { mixpanel.track("Click Link", { "Link Name": link.text, "Link Location": link.getAttribute('link-location') == null ? 'Body' : link.getAttribute('link-location'), "Link Type": link.getAttribute('link-type') == null ? '' : link.getAttribute('link-type'), "Link Destination URL" : link.href }); }); }); })(); } }catch(e){} }); jQuery(document).ready(function(){ var str = navigator.userAgent; if (str.toLowerCase().indexOf("firefox") >= 0) { jQuery('body').addClass("gecko"); } }); {"employmentType":"FULL_TIME","identifier":{"name":"Cubist Systematic Strategies, LLC","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"New York","addressLocality":"New York","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Cubist","@type":"Organization"},"datePosted":"2026-01-19","description":"

About Cubist

\n

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Job Description

\n

Cubist is seeking a small number of exceptionally talented, highly collaborative research analysts to join our Quant Academy rotational program. You will learn concepts that are fundamentally relevant to and important for a career in quantitative trading. We do not require prior experience in finance, but we do require a passion for excellence.

The Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.

Desirable Candidates

\n

• MS or PhD in finance, computer science, mathematics, physics, engineering or other quantitative discipline.
• Demonstrated ability to conduct independent research utilizing large data sets.
• Strong programming in at least one of the following: Python, C++, MATLAB, R.
• Strong analytical and quantitative skills.
• Detail-oriented.
• A clear, concise, and proactive communications style; no fear around asking questions.
• A strong track record of taking ownership of one’s work, and of working both independently and within a small team.
• Intellectual curiosity and passion.

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course, we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

The US annual base salary for this role is $150,000-$200,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

","title":"2026 Cubist Quant Academy – Researchers","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-01-17\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a035b00001SvnZSAAZ\"},\"Id\":\"a035b00001SvnZSAAZ\",\"Name\":\"2026 Cubist Quant Academy – Researchers\",\"Assigned_Internal_Recruiter__c\":\"005j000000EWCJ4AAP\",\"Job_Code__c\":\"CSS-0012866\",\"Experience__c\":\"Early Career\",\"Company__c\":\"001j000000VbgA3AAJ\",\"Posted_Location__c\":\"New York\",\"Area__c\":\"Investing\",\"Team__c\":\"Cubist Quant Academy\",\"Summary__c\":\"Cubist is seeking a small number of exceptionally talented, highly collaborative research analysts to join our Quant Academy rotational program. You will learn concepts that are fundamentally relevant to and important for a career in quantitative trading.\",\"Job_Description_External__c\":\"\u003Ch3\u003EAbout Cubist\u003C/h3\u003E\\n\u003Cp\u003ECubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EJob Description\u003C/h3\u003E\\n\u003Cp\u003ECubist is seeking a small number of exceptionally talented, highly collaborative research analysts to join our Quant Academy rotational program. You will learn concepts that are fundamentally relevant to and important for a career in quantitative trading. We do not require prior experience in finance, but we do require a passion for excellence.\u003C/p\u003E\u003Cp\u003EThe Cubist Quant Academy Program will provide you with broad training in the financial industry expertise you need to know to build a strong foundation and make successful (and meaningful) research contributions. As part of the program you will rotate across various teams within the firm spending several months with each team. During these rotations, you will have exposure to systematic trading approaches across multiple asset classes, where you will develop variety of skills in a more focused research environment. By the end of the rotations, you will have touched the full life cycle of a trade – from market data and research, to portfolio construction and execution, and post-trade analysis – which we believe is essential for long-term success in quantitative financial research.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EDesirable Candidates\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EMS or PhD in finance, computer science, mathematics, physics, engineering or other quantitative discipline.\u003C/li\u003E\u003Cli\u003EDemonstrated ability to conduct independent research utilizing large data sets.\u003C/li\u003E\u003Cli\u003EStrong programming in at least one of the following: Python, C++, MATLAB, R.\u003C/li\u003E\u003Cli\u003EStrong analytical and quantitative skills.\u003C/li\u003E\u003Cli\u003EDetail-oriented.\u003C/li\u003E\u003Cli\u003EA clear, concise, and proactive communications style; no fear around asking questions.\u003C/li\u003E\u003Cli\u003EA strong track record of taking ownership of one’s work, and of working both independently and within a small team.\u003C/li\u003E\u003Cli\u003EIntellectual curiosity and passion.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EWe’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course, we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe US annual base salary for this role is $150,000-$200,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.\u003C/p\u003E\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"RecordTypeId\":\"012j0000000tcfpAAA\",\"Apply_Now_URL__c\":\"https://grnh.se/19dbacf32us\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-01-17T18:53:33.000+0000\",\"Location__c\":\"New York, New York\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/001j000000VbgA3AAJ\"},\"Business__c\":\"Cubist\",\"Name\":\"Cubist Systematic Strategies, LLC\",\"Id\":\"001j000000VbgA3AAJ\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfpAAA\"},\"DeveloperName\":\"Cubist\",\"Name\":\"Cubist\",\"Id\":\"012j0000000tcfpAAA\"}},\"friendlyJobName\":\"2026-cubist-quant-academy-researchers\",\"formattedTeam\":\"Cubist Quant Academy\",\"formattedLocation\":\"New York\",\"formattedArea\":\"Investing\"}');